Lead Senior Backend Engineer (m/f/d)
hace 2 días
Granada
ph3Company Description /h3 pT‑Systems is part of the Deutsche Telekom Group, with around 30,000 employees worldwide. We create technology with purpose to generate a positive impact on society and we are looking for curious talent eager to learn, take on challenges, and contribute ideas that transform our customers’ experience. /p pWe trust people: we offer autonomy, continuous support, and a collaborative environment where you can grow without limits. We are one global team guided by respect, integrity, and a passion for doing better every day. /p h3Job Description /h3 pT‑Systems delivers advanced technology solutions across industries such as automotive, healthcare, and public services. Our AI Foundation Services team builds the platform infrastructure that powers AI inference at scale, including API gateways, authentication, billing, and multi‑tenant serving. We design and build high‑performance backend systems and APIs that power intelligent applications. The culture encourages deep technical expertise, creativity, and ownership. /p h3Role Overview /h3 pWe are looking for a senior backend engineer highly skilled in Python development with strong system design skills and extensive experience building production infrastructure. You will own and architect the backend platform behind our AI inference endpoints—a multi‑tenant system handling authentication, API key management, usage metering, billing, and request proxy services. You’ll shape architecture decisions, raise engineering quality, and build systems that are performant, secure, and observable at scale. /p h3Responsibilities /h3 ul liDesign and build core platform services: API gateway, authentication, authorization, key rotation, and multi‑tenant isolation. /li liImplement and optimize APIs and backend systems using Python frameworks such as FastAPI, Flask, or Django. /li liArchitect usage metering, billing integration, and rate limiting for inference endpoints. /li liBuild scalable, fault‑tolerant microservices for data processing and AI integration. /li liBuild and operate a high‑throughput proxy/routing layer for AI model serving traffic. /li liCollaborate with cross‑functional teams to design system architecture and ensure seamless system interoperability. /li liDesign telemetry and observability from the ground up—structured logging, distributed tracing, metrics, and alerting. /li liImplement robust CI/CD pipelines, monitoring, and observability for high‑performance production systems. /li liDrive technical decisions on architecture, data modeling, and technology choices. /li liIdentify performance bottlenecks and drive improvements in reliability, scalability, and latency. /li liEstablish engineering standards for the backend codebase: testing, code review, CI/CD, and deployment practices. /li liEnsure best practices for security, compliance, and maintainability across the API lifecycle. /li liCollaborate closely with the ML infrastructure team to integrate with model serving systems such as NVIDIA Dynamo, vLLM, or TensorRT‑LLM. /li /ul h3Qualifications /h3 ul liDegree in Computer Science, Software Engineering, or equivalent professional experience. /li li5+ years of experience building and operating backend systems in production, focusing on API design and high‑scale environments. /li liStrong proficiency in Python and at least one systems‑oriented language (Go, Rust, Java, or C++). /li liExperience designing and maintaining REST APIs and related protocols (gRPC, WebSockets, SSE, Webhooks). /li liSolid understanding of distributed systems: consistency, fault tolerance, concurrency, performance, networking, data pipelines, and optimization. /li liExperience designing authentication/authorization systems (OAuth2, JWT, API key management, RBAC/ABAC). /li liExperience with cloud infrastructure (AWS, GCP, or Azure) and containerized environments (Docker) with orchestration (Kubernetes). /li liUnderstanding of database design (SQL, ORMs) and data modeling at scale. /li liFluent in English (written and verbal) and comfortable collaborating in international teams. /li /ul h3Nice‑to‑have Requirements /h3 ul liExperience with high‑throughput, low‑latency or real‑time systems, such as message queues or event‑driven architectures. /li liFamiliarity with generative AI or large language models, including integration of AI APIs, RAG workflows, or vector databases. /li liExperience with modern DevOps practices, infrastructure as code, GitOps workflows, and observability tools (Prometheus, Grafana, OpenTelemetry). /li liExposure to ML serving infrastructure (model servers, GPU scheduling, inference optimization) a plus, but not required. /li liOccasional frontend development when necessary. /li liExperience in stress/load testing and performance evaluation of production systems. /li liStrong problem‑solving mindset and commitment to code quality and performance excellence. /li liTrack record of improving engineering culture: mentoring junior engineers, introducing better practices, and leading technical discussions. /li /ul h3What do we offer you? /h3 h3Work Environment Flexibility /h3 ul liInternational, dynamic, and collaborative environment /li liSocial initiatives (sports, community, health, etc.) /li liHybrid work model (remote/on‑site) /li liFlexible working hours /li /ul h3Growth Development /h3 ul liCustomized training: access to Coursera to learn whatever you want, whenever you want /li liWeekly language classes (English, Spanish German) /li liInternational mentoring sessions experience days /li /ul h3Compensation Benefits /h3 ul liFlexible compensation plan (health insurance, meal vouchers, childcare, transport) /li liTelemedicine /li liLife and accident insurance /li liSocial fund /li /ul h3Wellbeing Time Off /h3 ul li26+ working days of vacation per year /li liFree access to specialist services (medical, legal, wellness) /li li100% salary coverage during medical leave /li /ul pIf you are looking for a new challenge, please send your CV in English. Join our team! /p pT‑Systems Iberia will only process the CVs of candidates who meet the requirements specified for each offer. /p /p #J-18808-Ljbffr